AWS Data Engineer (Associate)

Mactores is a trusted leader in providing modern data platform solutions, enabling businesses to accelerate their value through automation. As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data products that enhance decision-making and ensure high data quality.

Responsibilities:

• Write efficient code in - PySpark, Amazon Glue
• Write SQL Queries in - Amazon Athena, Amazon Redshift
• Explore new technologies and learn new techniques to solve business problems creatively
• Collaborate with many teams - engineering and business, to build better data products and services
• Deliver the projects along with the team collaboratively and manage updates to customers on time

Requirements:

• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
• 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
• 2+ years of experience in SQL queries and stored procedures
• Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+
• Prior experience in working on AWS EMR, Apache Airflow
• Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
• Understanding of DataOps Engineering